Data Skeptic

The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.

https://dataskeptic.com

Eine durchschnittliche Folge dieses Podcasts dauert 26m. Bisher sind 328 Folge(n) erschienen. Dies ist ein wöchentlich erscheinender Podcast
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Human Computer Interaction and Online Privacy


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GANs Can Be Interpretable


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Sentiment Preserving Fake Reviews


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Interpretability Practitioners


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Facial Recognition Auditing


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Robust Fit to Nature


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Black Boxes Are Not Required


Deep neural networks are undeniably effective. They rely on such a high number of parameters, that htey are appropriately described as “black boxes”. While black boxes lack desirably properties like interpretability and explainability, in some...


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Robustness to Unforeseen Adversarial Attacks


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